Sökning: "task parallelism"
Visar resultat 1 - 5 av 21 uppsatser innehållade orden task parallelism.
1. Rate Flexible Soft Decision Viterbi Decoder using SiLago
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The IEEE 802.11a protocol is part of the IEEE 802 protocols for implementing WLAN Wi- Fi computer communications in various frequencies. These protocols find applications worldwide, covering a wide range of devices like mobile phones, computers, laptops, household appliances, etc. LÄS MER
2. THE USE OF TASK PRIORITIZATION IN OPENMP
Kandidat-uppsats, Umeå universitet/Institutionen för datavetenskapSammanfattning : As the hardware is evolving, the amount of cores increases and so does the use of parallel computing. Parallelizing a program is a way to increase the performance by distributing tasks across multiple threads or processors, taking advantage of the increasing amount of cores. LÄS MER
3. Deinterleaving of radar pulses with batch processing to utilize parallelism
Kandidat-uppsats, KTH/Kommunikationssystem, CoSSammanfattning : The threat level (specifically in this thesis, for aircraft) in an environment can be determined by analyzing radar signals. This task is critical and has to be solved fast and with high accuracy. The received electromagnetic pulses have to be identified in order to classify a radar emitter. LÄS MER
4. Using Graphical Processors to Implement Radio Base Station Control Plane Functions
Master-uppsats, Linköpings universitet/Institutionen för datavetenskapSammanfattning : Today more devices are being connected to the Internet via mobile networks. With more devices in mobile networks, the workload on radio base stations increases. Radio base stations must be energy efficient and cheap which makes high-performance central processing units (CPUs) a bad alternative to meet the increasing workload. LÄS MER
5. Hive, Spark, Presto for Interactive Queries on Big Data
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Traditional relational database systems can not be efficiently used to analyze data with large volume and different formats, i.e. big data. Apache Hadoop is one of the first open-source tools that provides a distributed data storage system and resource manager. LÄS MER